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The impact of early transfer bias in a growth study among neonatal intensive care units
- Source :
- Journal of Clinical Epidemiology. 56:998-1005
- Publication Year :
- 2003
- Publisher :
- Elsevier BV, 2003.
-
Abstract
- Transfer of infants between hospitals or their discharge home may bias comparisons of the performance across neonatal intensive care units (NICUs). This study attempts to show the potential size of transfer bias in the context of a large cohort study and describe strategies for minimizing this type of bias.To limit transfer bias in a neonatal growth study of extremely premature infants in six tertiary NICUs, we restricted eligibility to infants30 weeks gestation at birth and substituted matched replacements for early transfers (infants transferred or discharged prior to day of life 16).The restriction strategy was successful, reducing the overall early transfer rate from 16.4 to 3.6% and the range of transfer rates among individual NICUs from 0.6-32.7% to 0-11.0%. Replacement by matched substitutes had a much smaller effect because of the small number of early transfers and our inability to match on all factors distinguishing early transfers.Sampling strategies to minimize infants lost to follow-up were more successful than replacement strategies in limiting transfer bias in a NICU growth study. Although complete elimination of bias is likely impossible, valid studies require efforts to minimize, quantify, and test the effect of transfer bias.
- Subjects :
- Male
Patient Transfer
medicine.medical_specialty
Epidemiology
Context (language use)
Discharge home
Weight Gain
Sampling Studies
law.invention
Cohort Studies
Bias
New England
law
Intensive Care Units, Neonatal
Transfer (computing)
Intensive care
medicine
Humans
Intensive care medicine
Extremely premature
business.industry
Infant, Newborn
Intensive care unit
Treatment Outcome
Female
Health Services Research
Outcomes research
business
Infant, Premature
Subjects
Details
- ISSN :
- 08954356
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Epidemiology
- Accession number :
- edsair.doi.dedup.....bbf06f60af102ea0f32eaa3c707da5a1
- Full Text :
- https://doi.org/10.1016/s0895-4356(03)00168-9